A fundamental divide in migration research has existed between aggregate studies of movement among geographic regions and micro studies of individual migrant behavior. Micro-scale studies have highlighted the importance of stage of life-cycle in predicting movement propensities, whereas many aggregate studies have focused on age-aggregated data summed over all origins for in-migration and over all destinations for out-migration. In this paper we show that if data for functional metropolitan-centered regions are employed, and if origin-destination specific streams of movement are analyzed, the age-specific patterns of inter-metropolitan migration within the United States cluster into distinctive patterns of flow representative of key stages of the life-course. In order to expose and portray a rich, age-articulated geography of U.S. migration we aggregate county-to-county migration flow data from the 1990 census for extended metropolitan regions: Bureau of Economic Analysis (BEA) Economic Areas. We calculate destination-specific out-migration rates broken down into 17 age groups for each origin-destination-specific migration stream between pairs of Economic Areas and present the results of a factor analysis of these flow-specific age profiles. We use the factor scores to cluster the very large number of origin-destination-specific age profiles and find that seven characteristic types emerge reflecting key mobility stages of the life course. We analyze the distinctive characteristics of the migration flows in each cluster and based on the prevalence of flows of each type within streams of gross in- and gross out-migration we present a typology of the 172 BEA Economic Areas. Our conclusion is that better understanding the age articulation of origin-destination-specific flow patterns would help advance regional science migration research. Copyright Springer-Verlag Berlin Heidelberg 2003JEL classification: J61, O15, R23,

Europe is currently experiencing an ageing population and slowing population growth of both the total and working-age populations. These trends are likely to continue. Even though population ageing will affect all European regions, different regions will be affected in different ways. Even under favorable conditions, 35–40 % of all NUTS2 regions will face a labor force decline. If economic conditions are poor, some regions may continue to grow, but 55–70 % of the regions will see a labor force decline by 10 % or more. In most regions of Eastern Europe, the labor force may decrease by more than 30 %. To keep regions prosperous (maintaining competitiveness) and to avoid worse inequality (maintaining cohesion), policy-makers must find ways to cope with these challenges through new fiscal and social policies, though policies directly affecting demographic and migratory trends may also be needed.

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This paper considers internal migration in Italy in terms of current patterns and longer term trends in migration intensity. It systematically reviews the Italian situation by considering internal migration patterns by citizenship and gender using a geography of 611 local labour market areas (LLMAs), distinguishing between short‐ and long‐distance moves. Attention is given, in particular, to how migration intensities have changed between the categories of LLMAs and across different demographic subgroups. The paper also provides descriptive analyses of the influence on migration patterns of the persistent socio‐economic disparities, which exist between LLMAs. Finally, it discusses the role of delayed youth transitions from home, showing how this phenomenon—also observed in other countries—manifests itself in the Italian national and regional contexts.